A new iterative learning control (ILC) updating law is proposed for the tracking control of continuous linear system over a finite time interval.
提出了一个新的迭代学习控制(ilc)更新律用于连续线性系统的有限时间区间跟踪控制。
In this paper, we discuss the best observation problems of linear system in time interval given.
本文讨论在给定时间区间内线性系统的最佳观察问题。
The vehicle steering system is a slowly varying non-linear system, in a short time interval, its dynamic characteristics can be described by a parameter-varying second-order linear system.
汽车转向系统是一个缓慢变化的非线性系统，在一个较短的时间间隔内，可以用一个参数时变的二阶线性系统对其动力学特性进行描述。
Based on the assumption of the unknown-but-bounded (UBB) noise, an interval algorithm for set-membership identification of parameters of linear time-invariant system was used to seek the minimal.
本文讨论了在噪声功率有界的假设下双线性系统参数的集员辨识，给出了双线性系统参数集员估计的递推形式，并讨论了收敛性。
Based on the assumption of the unknown-but-bounded (UBB) noise, an interval algorithm for set-membership identification of parameters of linear time-invariant system was used to seek the minimal.
本文讨论了在噪声功率有界的假设下双线性系统参数的集员辨识，给出了双线性系统参数集员估计的递推形式，并讨论了收敛性。
应用推荐